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Faculty & Instructors

The Master of Management Analytics program features outstanding faculty from Smith School of Business who are some of the best management educators in the world, plus industry specialists and practitioners who bring their daily experience and insights to the discussion.

Faculty and instructors subject to change.

Technical Expertise

Murray is broadly interested in the intersection between business analytics and operations management. His research focuses on the development of provably near-optimal real-time prescriptive analytics solutions that are easily implementable in a dynamic business environment.

His current work lies in the area of pricing and revenue management, and is motivated by real business problems that arise in the context of e-commerce/omnichannel retail and on-demand service platforms.

Guang Li’s research interest focuses on modeling customer choice behavior, as well as seeking solutions to high-impact operations management problems, such as assortment planning and price optimization, using both analytical and data-driven approaches. She is also interested in topics at the interface of operations and marketing, including the impact of new pricing, promotion mechanisms and personalized marketing, on operational decisions. Guang’s work has appeared in Operations Research and Operations Research Letters.

Arcan Nalca holds a PhD degree in Operations Management from the Desautels Faculty of Management in McGill University, Montreal. His primary research interest lies in the field of supply chain management, especially in the context of modeling and analyzing practically motivated research problems at the interface of operations and marketing. Issues related to competition, coordination, and contracting in the presence of demand uncertainty constitute some of his research thrusts in this area.

His current teaching interests are in the areas of operations management and operations research; particularly Supply Chain Management, Production and Operations Management, Strategic Management of Operations/Supply Chains, Inventory Models. Arcan Nalca is a member of the Institute for Operations Research and the Management Sciences (INFORMS).

Anton Ovchinnikov is a Distinguished Professor of Management Analytics at Smith School of Business in Kingston, Canada. His research interests include, on the theoretical side, behavioral operations, revenue management and environmental sustainability. On the applied side, he studies data-driven applications in business, government and nonprofit sectors.

Anton’s work has been published in the leading academic journals. One of his academic papers was recognized as the finalist of the 2009 Junior Faculty Best Paper Competition held by the Institute of Operations Research and Management Sciences (INFORMS), and his applied work was recognized as the finalist in the 2014 INFORMS Revenue Management and Pricing section Practice Prize. In 2015 Anton received the Paul Kleindorfer Award in Sustainability from the Production and Operations Management Society (POMS) for his work on sustainable operations. His case studies also won several awards, including the 2005 and 2011 INFORMS Case competitions. Anton organized several conferences and is on the editorial review boards of two leading operations management journals; his contributions to the academic community also received multiple service awards.

Alex Scott has a background in management consulting with a specialization in retail banking analytics. In addition to teaching in Smith’s Master of Management Analytics programs, he is currently a manager at TD Bank in enterprise data & analytics where he leads analytics projects and sets analytics strategy across Canada and the United States. Alex holds two degrees from Smith School of Business at Queen’s University – a Bachelor of Commerce and a Master of Management Analytics.

With a unique ability to present technical topics in an easy-to-understand and inspiring way, Steve is a sought-after professor and AI expert at Queen’s University’s Smith School of Business. He leads both introductory and expert-level courses on multiple aspects of AI in undergraduate, graduate and executive education programs. He has been selected by students in the Master of Management Analytics as MMA Professor of the Year for the last three years running.

Holding PhD, MSc, and BSc degrees in Computer Science, Steve’s research focuses on analytics, machine learning, and natural language processing. His work has been published in leading journals including IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Software Engineering, Empirical Software Engineering, and others. In recognition of his work in the analytics and AI space, he was awarded a prestigious Scotiabank Scholar research grant.

Beyond teaching and research, Steve has run a big data startup company and conducted industrial operations research at Raytheon, a major U.S. defense contractor and commercial electronics company. He regularly consults with a wide range of organizations on the application of AI for best business outcomes.

Matthew Thompson's research is in real options theory and applications in energy markets. Matthew’s work has gained significant national and international recognition from the operations research community (winner of the best student paper award of the Canadian Operational Research Society and finalist in the prestigious George B. Dantzig Dissertation Award of INFORMS).

Jue Wang is an Assistant Professor of Management Science at Smith School of Business. His research lies at the intersection of operations research and statistics, with particular interests in real-time decisions with monitoring data. In addition, he is studying complex revenue management problems through the lens of optimal control theory. Jue has led multiple big data & analytics consulting projects in energy, transportation, and mining industries. He received his Bachelor’s degree from Xi’an Jiaotong University (China) in 2007 and PhD from the University of Toronto in 2013.

Management Expertise

A former Chief Executive Officer (CEO) of the YMCA of Kingston, Ontario (1995 to 2008), Mr. Bissonette began teaching at Smith in 2000. Possessing both private and public sector experience, Mr. Bissonette has considerable managerial expertise at both the middle management and upper management levels and has been involved in a number of turnaround initiatives. Possessing over 20+ years of teaching experience at both the university and college levels, Mr. Bissonette is also a successful entrepreneur, operating his own employee benefit consulting business. Mr. Bissonette holds an MBA from Clarkson University and a Bachelor of Administration from the State University of New York at Plattsburgh. A published author, Mr. Bissonette’s textbook, Business: Strategy, Development, Application, McGraw-Hill Ryerson Publisher, has been adopted (all or in part) by a number of universities and colleges across Canada. Mr. Bissonette also oversaw the creation of the Smith School of Business’ “Living Case” unit and has personally written and been actively involved in a number of cases associated with this innovative initiative.

Professor Dacin's research interests include cultural heritage and traditions, social innovation/entrepreneurship, and strategic alliances.  Her work has been published in leading management journals including the Academy of Management JournalAcademy of Management ReviewAccounting, Organizations, and SocietyJournal of Business EthicsJournal of ManagementJournal of World BusinessOrganization Science, and the Strategic Management Journal. She has also served as Senior/Consulting Editor for Organization ScienceJournal of International Business StudiesJournal of Management Inquiry. She has previously served for multiple terms on the Editorial Review Boards of the Academy of Management Journal, the Academy of Management Review, the Journal of International Business Studies, Strategic Organization and Strategic Management Journal

Professor Dacin teaches courses in leadership, change, and strategy. Professor Dacin advises and speaks to major corporations in the airline, biotechnology, defense, energy, financial services, healthcare, and telecommunications sectors as well as a number of public sector and non-profit organizations.  She currently sits on the boards of the Kingston Community Foundation and GRLI, a global advocacy organization for promoting responsible leadership in business schools and organizations. Professor Dacin has received several awards and recognition for research and teaching.  Most recently, she was inducted as a Visiting Fellow into Sidney Sussex College at the University of Cambridge, UK and is a Visiting Fellow of the Judge Business School. She has also been a Visiting Professor for several years at the Kellogg School of Management, Northwestern University and the Indian School of Business in Hyderabad, India.

Nusa Fain is an Assistant Professor at Smith School of Business, specializing in entrepreneurship and innovation management, and is currently the Director of Smith's Master of Innovation & Entrepreneurship program. She completed her PhD in Mechanical Engineering with a focus on process management within innovative organizations at University of Ljubljana (2010). Prior to joining Smith School of Business, Dr. Fain was a lecturer at Strathclyde Business School (UK), where she taught Managing Innovation, Strategic Global Marketing and Integrated Marketing Communications. She has extensive consulting experience within the field of product development and innovation management with a wide diversity of firms (including oil and gas, manufacturing and retail). Her research interests are two-fold. She is exploring implementation of open innovation practices into mature organizations and looking into pedagogies that support the development of entrepreneurial mindsets in design students.

At Smith School of Business, Dr. Fain teaches entrepreneurship and new venture creation courses on the Commerce program and supports the delivery of content for the individual projects on the Master of Management Innovation and Entrepreneurship program.

As Chief Analytics Officer and Head of Product for Receptiviti, Mike is an engaging and dynamic leader with deep expertise in analytical decision making. Mike’s keen interest in applying analytics to performance management and fascination with modeling customer behaviour led him to Receptiviti, where he is responsible for leading both the Science and Product teams. He spends his time diving into the human psyche through the use of functional language and building software to deliver insights into the human capital at organizations to enhance performance, reduce culture risk and drive customer experience.

Mike spent 15 years at Scotiabank, primarily in Capital Markets. He was most recently Managing Director, Data Science and Analytics, where he was responsible for driving the strategy and implementation of advanced analytics for the entire wholesale bank, including Global Banking and Markets, Group Treasury, Commercial Banking and Wealth Management. Mike led the Data Science & Analytics group responsible for applying advanced analytics and artificial intelligence to enhance customer knowledge, improve customer focus and drive business performance. Mike consistently built and led modeling and engineering functions, building systems deployed across many departments in the bank working with the leadership to solve critical business problems and deploy some of the most advanced systems across the bank.

Mike has been heavily involved with many research initiatives at Universities in the US and Canada focused on advanced analytics, machine learning in secure environments and behavioural modeling. He is currently an adjunct lecturer at Queen’s University teaching pricing and revenue optimization, as well as analytical decision making.

Mr. Kearns has more than 20 years of experience leading successful startup, turnaround and high-growth business units at premier global firms. He has broad experience in data analytics, technology, management and operations. Known for quickly repositioning businesses, driving revenue and profit growth, effective communications, and client focus, his leadership style is famous for being both strategic and operational. His specialties are risk management, global growth and innovation.

Masoum Mosmer is an experienced data scientist and an Adjunct Lecturer at Smith School of Business. He specializes in using machine learning to solve complex business challenges across an array of industries including eCommerce/Technology, Retail, CPG, Loyalty, Travel, and Financial Services. Masoum has a passion for teaching and is particularly interested in helping current and future business executives adopt the kind of data-centric and algorithmic mindset required to compete in the 21st century.

In addition to his role at Queen’s, Masoum leads a team of talented data scientists and engineers at Wayfair, an eCommerce tech company based out of Boston, Massachusetts looking to disrupt the ~$600B home furniture, décor, and renovation market. His team takes a highly customer-centric approach to developing algorithmic marketing and personalization solutions designed to drive incremental revenue, enhance customer experience, and improve customer loyalty. Prior to Wayfair, Masoum was Director of Machine Learning at Royal Bank of Canada based out of Toronto, Ontario.

Masoum holds a B.A.Sc. in Mechanical Engineering from the University of Toronto and a Master of Management Analytics from Queen’s University.

Elspeth Murray has served as the Associate Dean - MBA and Masters Programs since 2012, and has been a professor of Strategy and Entrepreneurship at Smith School of Business since 1996. She also holds the CIBC Fellowship in Entrepreneurship, and founded Smith's Centre for Business Venturing. Prior to joining Smith, she worked in industry for 7 years for several firms including IBM, and Canadian Tire. As an integral part of her work in the strategy and new venture fields, Dr. Murray specializes in the management of change. In 2002, she co-authored a best-selling book, Fast Forward: Organizational Change in 100 Days, Oxford University Press, with Dr. Peter Richardson. She has recently co-developed (with Dr. David Saunders) the Analytics Climate Assessment Tool (ACAT), which is used to assess organizations technological capacity, skill sets, and analytics culture. Current research is focused on best practices in leading and managing change to create an analytics culture.

Dr. Murray teaches on many MBA and Executive Education programs, and consults widely with a diversity of firms including BMW, Detour Gold, Wawanesa Insurance, Versacold Logistics and the Auditor General for Canada. She serves as a Director for several firms and is an advisor to several start-ups and CEO's. Dr. Murray received an undergraduate degree in computer science and mathematics, and an MBA, both from Queen's University. Her doctorate in Strategy and Management Information Systems was completed at the Richard Ivey School of Business.

Keith Rogers has a Ph.D. in Management from Queen's as well as an M.A.Sc in Management Sciences (Supply Chain Management) from the University of Waterloo and an M.A. in Economics (Econometrics and International Economics) from Queen's. He has published research in the journal of Operations Management, Development Economics and the Journal of Business Ethics.

Sandy Staples current research interests revolve around how mobile technology and social media can be used to influence behaviours related to environmental sustainability. Previous research mostly focussed on investigating distributed team issues such as the effects of diversity, trust, and other factors on team processes and outcomes and the role of technology to improve the effectiveness of these teams. He also worked on knowledge management issues such as knowledge sharing practices. He studies and teaches IT governance and strategy, and project management. He has worked on a variety of other research topics in the past including predicting and measuring IS effectiveness, business process reengineering, system development practices, and open source software development practices.

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